BEGIN:VCALENDAR VERSION:2.0 PRODID:-//HasGeek//NONSGML Funnel//EN DESCRIPTION:Finding the elephant in the data. X-WR-CALDESC:Finding the elephant in the data. NAME:The Fifth Elephant 2012 X-WR-CALNAME:The Fifth Elephant 2012 REFRESH-INTERVAL;VALUE=DURATION:PT12H SUMMARY:The Fifth Elephant 2012 TIMEZONE-ID:Asia/Kolkata X-PUBLISHED-TTL:PT12H X-WR-TIMEZONE:Asia/Kolkata BEGIN:VEVENT SUMMARY:Crunching big data\, Google scale DTSTART:20120727T040000Z DTEND:20120727T044500Z DTSTAMP:20260421T083327Z UID:session/B3ttxjQExvj97SYoKRRN3n@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Beginner,Lecture CREATED:20190704T130219Z DESCRIPTION:Whether you are an e-commerce startup or a genomics research l ab or plan to run products at the scale of Gmail\, Youtube or Adwords\, yo u generate gigabytes of data every day if not every hour. Your storage req uirements run into tera or peta bytes and you may need thousands if not hu ndreds of thousands of CPU cores to process that data. At Google\, we hav e developed several in-house tools and techniques to be able to process da ta at scale. Recently we made several of these tools available externally. In this talk we will go over some of our learnings on big data\, and disc uss techniques with case studies for crunching big data.\n\n### Speaker bi o\n\nRahul Kulkarni joined Google in 2006 as its first product manager in India. He currently manages a cross functional team leading Google maps an d local efforts in India. He has built and led teams around cloud computin g\, Google Apps platform\, Orkut\, OpenSocial\, Google Finance and ads at Google. Prior to joining Google\, Rahul led new product development effort s at National Instruments Corp\, Austin in the areas of design\, prototypi ng and deployment of high speed control systems.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/crunching-big-data-goo gle-scale-B3ttxjQExvj97SYoKRRN3n BEGIN:VALARM ACTION:display DESCRIPTION:Crunching big data\, Google scale in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:In Data We Believe DTSTART:20120727T044500Z DTEND:20120727T053000Z DTSTAMP:20260421T083327Z UID:session/7eYQRvVzq8StTgDSAJ1Ji9@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Beginner,Discussion CREATED:20190704T130241Z DESCRIPTION:- as tech matures\, the steady state has to be with data\n- da ta (owned or mined or both) is the basis of making decisions\n- the qualit y of decisions is highly influenced by the quality of\n data both in term s of accuracy and timeliness\n- the "big data" meme creates opportunities for algorithmic and\n hueristic research which can lead to products and s ervices that\n cannot be possible with any conventional methods\n- the on ly cost effective means to get to these abilities is if the\n underlying architecture of hardware and software are both standards\n based and open source.\n- the ability to derive simple insights from very large amounts of\n data (for example fractals)\n\n### Speaker bio\n\nHead of Community Architecture and Leadership\, Red Hat.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/in-data-we-believe-7eY QRvVzq8StTgDSAJ1Ji9 BEGIN:VALARM ACTION:display DESCRIPTION:In Data We Believe in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:A Herd of Elephants - Navigating the Hadoop Ecosystem DTSTART:20120727T060000Z DTEND:20120727T064500Z DTSTAMP:20260421T083327Z UID:session/A2yFqFwTG5QJWdihsmdGmm@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Tutorial CREATED:20190704T130307Z DESCRIPTION:Hadoop has matured to point where it is not longer just one pr oject but a bunch of projects ranging from getting data onto the cluster t o processing and analyzing data to managing the cluster itself. I will be talking from my personal experiences from setting up a hadoop cluster at I nmobi that processes 10TB+ of Data per day (and growing). The several Hado op clusters in Inmobi are spread over multiple datacenters across continen ts.\n\nProjects that will be covered in some detail include Hadoop (HDFS a nd Mapreduce)\, Hive\, HBase\, Pig\, Mahout\, Scribe \, Zookeeper and Oozi e/Azkhaban.\n\n### Speaker bio\n\nVinayak Hegde is Head of Engineering (Ma rketplace Management) at Inmobi. He has been active in opensource software community for more than a decade. He has been writing code in mainstream as well as esoteric programming languages on a variety of operating system s. He is a computer networking and data geek.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/a-herd-of-elephants-na vigating-the-hadoop-ecosystem-A2yFqFwTG5QJWdihsmdGmm BEGIN:VALARM ACTION:display DESCRIPTION:A Herd of Elephants - Navigating the Hadoop Ecosystem in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:An Introduction to Data Visualization & Processing ( Programming L anguage) DTSTART:20120727T060000Z DTEND:20120727T064500Z DTSTAMP:20260421T083327Z UID:session/EigQEXvJ3tXfWdXT6WjvDo@hasgeek.com SEQUENCE:2 CATEGORIES:Data Visualization,Beginner,Tutorial CREATED:20190704T130450Z DESCRIPTION:The talk is going to be split into two parts (of 15-20 mins ea ch). \n\nFirst part covers\, Data & Visualization. Where I would try to an swer ( with examples ) questions such as: Is Data just numbers? What is th e Purpose of a Visualization? Does context play a role in choosing the typ e of visualization?\n\nSecond part covers\, a basic introduction to a prog ramming language called Processing. Where\, the available methods\, librar ies and export options like Android\, Web ( Applet/Processing.js)\, etc ar e explained. I would like to conclude my talk with an example/case study o f a visualization that I have done using Processing. \n\nLast 5 odd mins i s retained for Q&A and discussion.\n\n### Speaker bio\n\nUttam Grandhi is an alumnus of BITS-Pilani and Vancouver Film School. He currently works fu ll-time as an Artist for Artoo IT Solutions Pvt. Ltd\, Bangalore (www.arto o.in). At Artoo\, he owns the web and android interfaces. His areas of in terest include( but not limited to) Paper Engineering\, Sculpture\, Callig raphy\, Stop Motion Animation and Digital Art.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/an-introduction-to-dat a-visualization-processing-programming-language-EigQEXvJ3tXfWdXT6WjvDo BEGIN:VALARM ACTION:display DESCRIPTION:An Introduction to Data Visualization & Processing ( Programmi ng Language) in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Big Data and the Cloud a Best Friend Story DTSTART:20120727T064500Z DTEND:20120727T073000Z DTSTAMP:20260421T083327Z UID:session/KpGRcM9Z91seFp3nDWA87M@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Beginner,Lecture CREATED:20190704T130541Z DESCRIPTION:I will show how cloud infrastructure coupled with open source software is enabling the collection\, sharing and processing of big data. I will have specific case studies on organisation that are now enabled to collect and use this information\, how they are using it and what problem s they are solving. As an evangelist for Amazon Web Services\, I am able to work across many organisation using the cloud within big data and am on the front lines of this massive disruption.\n\n### Speaker bio\n\nJoseph Ziegler\n\nTechnology Evangelist for Australia & New Zealand\n\nJoe starte d his life in Texas but began his career in Silicon Valley. Previously\, Joe worked at Accenture in San Francisco with Netscape amongst his clients . He developed some of the first e-commerce applications during the early days of the Internet and ran several start-up companies\, including his f irst classic IPO on the NASDAQ. His most recent thriving venture is Iris Data Services\, which landed on the “Forbes 500 Fastest Growing Companie s in the US” list.\n\nJoe started using cloud services in 2006 to create the infrastructure for Iris Data Services as the Director of Technical Se rvices. Additionally\, he worked with several enterprises developed on th e cloud\, including building his own company\, IndexMedia\, on Amazon Web Services. Now he has enthusiastically become an evangelist for Amazon\, s peaking about the services and features available to customers.\n\nJoe has lived on five continents and enjoys meeting people in different parts of the globe. He likes long-distance running and spending time with his fami ly\, including his retired greyhound Flash\, at his home in Melbourne\, Au stralia. He has studied Mandarin Chinese\, Japanese and Korean.\n\nJoe ea rned his degree in Computer Science from Texas A&M University and an MBA f rom The University of Texas at Dallas.\n\nHe can be followed at his twitte r handle @jiyosub.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/big-data-and-the-cloud -a-best-friend-story-KpGRcM9Z91seFp3nDWA87M BEGIN:VALARM ACTION:display DESCRIPTION:Big Data and the Cloud a Best Friend Story in Audi 1 in 5 minu tes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Simplifying advanced analytics to empower business managers DTSTART:20120727T064500Z DTEND:20120727T073000Z DTSTAMP:20260421T083327Z UID:session/ASSGEKhNiMSRwEs9CqakZS@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Lecture CREATED:20190704T130609Z DESCRIPTION:Advanced analytics can significantly help business managers ma ke more informed decisions by uncovering crucial insights\, that would oth erwise remain hidden. While benefits of analytics are agreed by senior man agement of most enterprises\, the adoption continues to be limited in most enterprises. As Big Data grows in importance\, low adoption rate of analy tics will evolve as an “Achilles Heel” . \n\nThis session will showcas e how to effectively combine analytics and business by embedding data mini ng and machine learning techniques in a business application with right bl end of business context\, simplified user interface and new age IT infrast ructure. This can significantly simplify sophisticated analytics to make i t more accessible to business managers in their day to day decision making process.\n\n### Speaker bio\n\nPrithvijit Roy is the CEO and Co-Founder o f BRIDGEi2i Analytics Solution and has over 14 years of experience in buil ding and leading large Analytics Centers of Expertize. Past experience inc ludes setting up and leading Hewlett Packard’s Decision Support & Anal ytics Services unit supporting all its businesses & functions globally. Pr ior to Hewlett Packard\, he was part of seed team and leadership building GE’s Analytics center (currently known as Genpact) \, a pioneer to Indi a Analytics Industry.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/simplifying-advanced-a nalytics-to-empower-business-managers-ASSGEKhNiMSRwEs9CqakZS BEGIN:VALARM ACTION:display DESCRIPTION:Simplifying advanced analytics to empower business managers i n Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Visualising Text DTSTART:20120727T064500Z DTEND:20120727T073000Z DTSTAMP:20260421T083327Z UID:session/Hj9Co5h57kRu57zrdRkhW7@hasgeek.com SEQUENCE:2 CATEGORIES:Data Visualization,Intermediate,Tutorial CREATED:20190704T130620Z DESCRIPTION:There are a surprisingly large number of techniques for visual ising text have emerged in the last five years. Streamgraphs\, document ar cs\, word spectrums\, the ever popular word cloud\, etc.\n\nCombined with traditional analytical techniques like sentiment analysis\, statistical im probability\, stemming\, n-gram Markov chains\, etc\, we now have powerful ways of summarising and extracting meaning from text.\n\nThis session wil l walk through examples of popular text visualisations in an easy-to-under stand way\, online tools you can use right away\, and provide you a starti ng point to build your own applications to visualise text.\n\n### Speaker bio\n\nAnand is a data scientist at Gramener\, a data visualisation compan y.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/visualising-text-Hj9Co 5h57kRu57zrdRkhW7 BEGIN:VALARM ACTION:display DESCRIPTION:Visualising Text in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Looking beyond the usual suspects for Near Real Time analytics on Big Data DTSTART:20120727T083000Z DTEND:20120727T090000Z DTSTAMP:20260421T083327Z UID:session/B6C3N8UYnacq7KnBhmLiRE@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T035139Z DESCRIPTION:Talk will outline the big data use cases for PayPal and provid e learnings for POCs on 1 use case involving processing 20 TB of data and 250 billion events per day in near real time\n\n### Speaker bio\n\nNavjot Sidhu\, Techincal Architect at PayPal.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/looking-beyond-the-usu al-suspects-for-near-real-time-analytics-on-big-data-B6C3N8UYnacq7KnBhmLiR E BEGIN:VALARM ACTION:display DESCRIPTION:Looking beyond the usual suspects for Near Real Time analytics on Big Data in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Introduction to data analysis & visualisation with R DTSTART:20120727T083000Z DTEND:20120727T090000Z DTSTAMP:20260421T083327Z UID:session/2TMHJktTgbLnp7fjEwmy4h@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Beginner,Tutorial CREATED:20190705T035201Z DESCRIPTION:R is an open source software environment for statistical compu ting & graphics. R can be used for data manipulation\, data analysis\, sta tistical modelling and data visualization.\n\nR is used in industry for wi de ranging application from drug research studies\, advertizing campaign e ffectiveness\, building trading strategies in financial markets to mining twitter for sentiment analysis.\n\n### Speaker bio\n\nShree Joshi has 15+ years experience in software development. Shree has worked at various leve ls of technology stack from network processor definition to linux kernel e nhancements\, networking protocols & applications from network management to voice telephony.\n\nShree regularly participates and contributes to sta ndardization activities in Internet Engineering Task Force (IETF).\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/introduction-to-data-a nalysis-visualisation-with-r-2TMHJktTgbLnp7fjEwmy4h BEGIN:VALARM ACTION:display DESCRIPTION:Introduction to data analysis & visualisation with R in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Explorations in Data Analysis and Visualization DTSTART:20120727T083000Z DTEND:20120727T090000Z DTSTAMP:20260421T083327Z UID:session/3ji4hCkUZSc4X4unWkXXcC@hasgeek.com SEQUENCE:2 CATEGORIES:Data Visualization,Beginner,Discussion CREATED:20190705T035308Z DESCRIPTION:An exploration of data analysis and visualization. What were o ur goals and how we built a simple tool\, step by step. We will take you t hrough a journey of what we tried and what ended up with. We can discuss h ow you can build your own and some ideas for the future.\n\n### Speaker bi o\n\nA technology entrepreneur. Working on database technology since mid 8 0s. Built a SQL database engine\, worked extensively in XML and currently working on Natural Language Tool kits.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/explorations-in-data-a nalysis-and-visualization-3ji4hCkUZSc4X4unWkXXcC BEGIN:VALARM ACTION:display DESCRIPTION:Explorations in Data Analysis and Visualization in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Build your own Real Time Analytics and Visualization\, Enable Comp lex Event Processing\, Event Patterns and Aggregates DTSTART:20120727T090000Z DTEND:20120727T093000Z DTSTAMP:20260421T083327Z UID:session/UJ7n7jYjDWGoGQrKtiN4re@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Demo CREATED:20190705T035339Z DESCRIPTION:Traditionally people use databases or data-warehouses or even Hadoop and Map Reduce to perform batch analytics. However real time analyt ics\, real time visualization and complex event processing require drastic ally different architecture\, storage and paradigms.\n\nIn this talk we wi ll share a model for accomplishing the above using:\n \nElastic Search: To push large data sets into sharded lucene index. This index can be in m emory\, partially in memory and partially on disk etc. This is key to real time data.\n\nstatsd: Aggregator (provides aggregates on the basic events ). This is key to continuous ETL and continuous analytics.\n\nReverse Pump : The reverse pump\, pushes back aggregate information into Elastic Search \n\nPattern Recognition: This is similar to looking for regular expression s in Perl. We look for patterns in the event stream and match patterns. No te the sliding time window over which is applies is finite and limited by memory as are the number of pattern matchers. This system uses a reverse i ndex and RETE techniques.\n\nGraphite: Basic Visualization (includes simpl e realtime visualization)\n\nNotification: These will be triggered on matc hes of static rules or complex pattern match on base event/aggregate event s or patterns matched\n\nExtras: \nMySQL binlog parser to observe and ana lyze events (BinLogParser) \nDepict the mood of Mysql with music. Make it sing!\n\n### Speaker bio\n\nRamesh Perumalsamy & Vishnu Rao are part of t he Supply Chain Technologies(SCT) Platform team at Flipkart. We build SOA systems and event processing and triggers notifications depending on patte rns for India’s largest ECommerce entity Flipkart.\n\nThe day job involv es prototyping to delivering new solutions and technologies to provide pro ductivity multipliers to Flipkart Supply Chain products.\n\nRamesh loves s olving problems\, the command line\, experimenting with Open source soluti ons and much more. And secretly saves the world from Super Villains (Like some of his colleagues).\n\nVishnu is our In-house Mysql Medical Officer. He runs a flipkart internal blog called - M*A*S*H (Mysql Army surgical hos pital) where Mysql queries and Mysql instances alike are treated with love and care :) .A lego freak. He doodles @ http://doodle-vishnu.blogspot.com /\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/build-your-own-real-ti me-analytics-and-visualization-enable-complex-event-processing-event-patte rns-and-aggregates-UJ7n7jYjDWGoGQrKtiN4re BEGIN:VALARM ACTION:display DESCRIPTION:Build your own Real Time Analytics and Visualization\, Enable Complex Event Processing\, Event Patterns and Aggregates in Audi 1 in 5 mi nutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:The science behind Predictive Analytics- a Text Mining Perspective DTSTART:20120727T090000Z DTEND:20120727T093000Z DTSTAMP:20260421T083327Z UID:session/7VmnZWk4Fcivv7WmSaNLH9@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T035424Z DESCRIPTION:The abundance of structured and unstructured interaction data (web journey metrics\, chats\, etc.)\, motivates us to leverage the power of this data. I'll concentrate on the algorithms which are being deployed now-a-days to dig out inferences from customer text data. I will illustra te with some use cases.\n\n### Speaker bio\n\nAnkur Pandey works in the An alytics & Data Sciences group at [24]7 Innovation Labs. Prior to this\, he had research experience at IISc\, masters from TU/e Netherlands & JKU Aus tria\, and a bachelors from NITK Surathkal.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/the-science-behind-pre dictive-analytics-a-text-mining-perspective-7VmnZWk4Fcivv7WmSaNLH9 BEGIN:VALARM ACTION:display DESCRIPTION:The science behind Predictive Analytics- a Text Mining Perspec tive in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Lessons from the evolution of Mayavi DTSTART:20120727T090000Z DTEND:20120727T093000Z DTSTAMP:20260421T083327Z UID:session/SfYyuTj629oBgYaG5cFhEU@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T035540Z DESCRIPTION:Mayavi is an open source 3D visualization package that provide s multiple ways\nfor a scientist/engineer to visualize their data in 3D. I t is implemented in\nPython and is designed to be used from both Python's interactive interpreter\nand as a standalone application. It boasts of ma ny interesting features\, which\ninclude an easy to use scripting interfac e\, embeddability into custom\ndialogs/applications\, support for multiple UI tookits\, off-screen rendering\nand automatic recording of UI actions to readable Python scripts. These have\nresulted in Mayavi being used in a very wide variety of applications all over\nthe world in academia and co mmercial organizations.\n\nThe first version of Mayavi was released in 200 1 and was based on a previous\nattempt to produce a visualization tool for colleagues in the author's lab\nwhen he was a PhD student. Subsequently in 2005\, Enthought funded the author\nto work on a much more powerful rew rite of Mayavi.\n\nIn this talk we'll look at the historical development o f Mayavi\, both in terms\nof the technical implementation and features\, a s well as the motivation for the\nevolution. While many of the software e ngineering lessons learned from this\nproject are not new\, the perspectiv e of building the package for the\nparticular set of users is interesting and illuminating.\n\n### Speaker bio\n\nPrabhu Ramachandran is currently t he Managing Director of Enthought India. He has been a faculty member at the Department of Aerospace Engineering\, IIT Bombay\, since 2005. His res earch interests are primarily in particle methods and applied scientific c omputing. He has been active in the FOSS community for more than a decade. He co-founded the Chennai Linux User Group in 1998 and is the creator\, a nd lead developer of Mayavi. He has contributed to the Python wrappers of the Visualization Toolkit. Prabhu has a Ph.D. in Aerospace Engineering fro m IIT Madras. He is an active member of the SciPy community as well as a m ember the Society for Industrial and Applied Mathematics and a nominated m ember of the Python Software Foundation.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/lessons-from-the-evolu tion-of-mayavi-SfYyuTj629oBgYaG5cFhEU BEGIN:VALARM ACTION:display DESCRIPTION:Lessons from the evolution of Mayavi in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Splunk> Driving Real-time Analytics from Small Data\, Big Data and Huge Data DTSTART:20120727T093000Z DTEND:20120727T100000Z DTSTAMP:20260421T083327Z UID:session/UgJTXBsa5qf5qT3Adu7xmD@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T035643Z DESCRIPTION:Data is everywhere\, but few organizations are deriving the fu ll value from their data. Hidden inside the websites\, application servers \, networks and mobile devices that power the enterprise is critical infor mation about website traffic\, customer behavior\, IT systems performance\ , cyber-security threats and more. How do you keep up with the velocity an d variety of data streaming in and get actionable insights on it\, all in real-time? What about correlating big data with data from social platforms and relational databases? In this talk\, we'll examine real-world example s from leading online\, retail\, telecoms and financial services organiza tions that offer a blueprint for integrating big data technologies\, deliv ering new visibility and insights to IT and the business users and acceler ating the adoption of big data in the enterprise.\n\n### Speaker bio\n\nRa hul has a unique blend of Web Analytics strategy\, Business Intelligence a nd marketing experience. Rahul is very passionate about the web and his ar eas of interest are web analytics\, marketing strategies\, optimization an d KPI evaluation. He is currently Director - Web Intelligence Product Mark eting at Splunk. Previously\, he was Sr. Manger - Search Analytics at eBay . His team worked on analytics and optimization for Product Based Experien ce\, Catalogs\, Fitment\, Classification\, Verticals Search and Advertisin g. Prior to eBay\, Rahul was an Independent Web Strategy consultant focuse d on Social Media. His past experience include Director of Analytics and O ptimization for Ask.com. and Dell. At Dell\, Rahul was responsible for the Web Analytics Tools Strategy for Dell.com (largest e-commerce site) which included identifying capabilities\, KPI\, functionality\, vendor selectio n\, and implementation of a Web Analytics tool. Rahul was also responsible for Competitive Intelligence (Hitwise\, Compete.com\, MSN Adlabs). \nRahu l can be followed on twitter @thedeshmukhs\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/splunk-driving-real-ti me-analytics-from-small-data-big-data-and-huge-data-UgJTXBsa5qf5qT3Adu7xmD BEGIN:VALARM ACTION:display DESCRIPTION:Splunk> Driving Real-time Analytics from Small Data\, Big Data and Huge Data in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY: “I know what you are going to do next summer” – Predicting Repeat Purchase Behavior by using Bayesian Hierarchical model and Regressi on Techniques DTSTART:20120727T093000Z DTEND:20120727T100000Z DTSTAMP:20260421T083327Z UID:session/DhqgVbkzqBzWfbv34ebhh8@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T035708Z DESCRIPTION:In the context of targeted marketing to consumers\, the abilit y to tell which customers are more likely than others to make a purchase w ith HP in the near future greatly enhances effectiveness of any marketing campaign. It helps to rank customers on their propensity to re-purchase\, and leads to preferential treatment of the right customers. It also reduce s the likelihood of bombarding customers\, who are less likely to purchase \, with marketing material (over email or postal mail)\, possibly alienati ng them from future interest in HP. \n\nThe propensity to make a repeat pu rchase depends on two parameters unique to each customer\, the probability of churn and the frequency of transactions. The customer repeat purchase modeling framework we propose\, based on a Regression based approximation to a Bayesian hierarchical model\, answer these questions. Using the answ er to these questions as inputs we predicted the likelihood of a customer making a transaction within a time span into the future (e.g. in the next six months). \n\nOur algorithm can score massive databases for repeat purc hase. Further\, since it uses only transaction data\, it is readily applic able to a wide array of customer segments across different business units\ n\n### Speaker bio\n\nBiswajit Pal currently holds the position of Project Manager in Customer Intelligence team which is a part of Global Analytics organization within HP. He has 6 years of experience in the areas of Pred ictive Analytics\, Data mining\, statistical modeling across verticals lik e Healthcare\, retail and IT and holds a Post Graduate degree in Applied S tatistics and Informatics from IIT Bombay.\n\nSubhasish Mishra currently h olds the position of Project Manager in strategy team which is a part of G lobal Analytics organization within HP. He has 5 years of experience in th e areas of Predictive Analytics\, Data mining\, statistical modeling and h olds a Post Graduate degree in Economics from Delhi School of Economics.\n \nManav Shroff is an analytics professional with 11 years of global experi ence across Technology\, Financial Services\, Banking and Insurance indust ries. He is currently leading a team of analytics practitioners supportin g HP’s Corporate Customer Intelligence group\, providing support in the areas of Customer Analytics (B2C and B2B)\, Web Analytics\, and Market Res earch\, Emerging Markets Strategy\, Knowledge Management and Campaign Oper ations. Manav holds a MBA degree and also is a GE certified green belt and lean coach.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/i-know-what-you-are-go ing-to-do-next-summer-predicting-repeat-purchase-behavior-by-using-bayesia n-hierarchical-model-and-regression-techniques-DhqgVbkzqBzWfbv34ebhh8 BEGIN:VALARM ACTION:display DESCRIPTION: “I know what you are going to do next summer” – Predict ing Repeat Purchase Behavior by using Bayesian Hierarchical model and Regr ession Techniques in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Seeing through the Haze - Advanced Visualisations using Python DTSTART:20120727T093000Z DTEND:20120727T100000Z DTSTAMP:20260421T083327Z UID:session/EDAE4CaoZfYaWYsdxEWBqj@hasgeek.com SEQUENCE:2 CATEGORIES:Data Visualization,Advanced,Demo CREATED:20190705T035721Z DESCRIPTION:This Tutorial/Demo will go indepth into how to use Python libr aries to represent\, analyze and visualize multidimensional data. Some of the advanced visualizations that will be covered at heatmaps\, treemaps\, streamgraphs\, Hinton diagrams and more.\n\n### Speaker bio\n\nVinayak Heg de is Head of Engineering (Marketplace Management) at Inmobi. He has been active in opensource software community for more than a decade. He has bee n writing code in mainstream as well as esoteric programming languages on a variety of operating systems. He is a computer networking and data geek. \n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/seeing-through-the-haz e-advanced-visualisations-using-python-EDAE4CaoZfYaWYsdxEWBqj BEGIN:VALARM ACTION:display DESCRIPTION:Seeing through the Haze - Advanced Visualisations using Python in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:The Elephant in the Cloud DTSTART:20120727T103000Z DTEND:20120727T110000Z DTSTAMP:20260421T083327Z UID:session/TvuVnTkhubsrfofbMnQsKw@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T035757Z DESCRIPTION:Hadoop and frameworks on top of it like Hive are a popular app lication running in the Cloud. The Cloud architecture though is significan tly different - in terms of it's elasticity\, it's latency characteristics and it's pricing models than a regular data center. It can also be daunti ng to a lay user to understand and setup. In this talk we will describe ho w Qubole Data Service has adapted Hadoop and Hive to uniquely fit and expl oit the Cloud architecture and make big data processing easy and accessibl e to all. The agenda will be roughly as follows:\n\n1. Start by covering s ome key characteristics of the Cloud.\n2. Describe the current state of ar t of running Big Data stack in the Cloud and the problems and opportunitie s for improvement in the above.\n3. Describe Qubole Architecture and how w e have attempted to tackle some of these problems.\n4. Demonstrate some of the usability enhancements and go over some performance comparisons.\n\n# ## Speaker bio\n\nJoydeep is a co-founder at Qubole and heads their India development team. Prior to starting Qubole - Joydeep worked at Facebook wh ere he boot-strapped the data processing ecosystem based on Hadoop\, start ed the Apache Hive project and led the Data Infrastructure team. Joydeep w as a key contributor on the Facebook Messages architecture team that broug ht Apache HBase to Facebook and to the transactional and reporting backend s for Facebook Credits. He has been a driver for other important sub-proje cts in the Hadoop ecosystem - like the FairScheduler and RCFile. Joydeep s tudied Computer Science at IIT-Delhi and University of Pittsburgh and star ted his career working on Oracle's database kernel and building highly ava ilable and scalable file systems at Netapp. In between - he has played fou nding roles in storage and advertising startups. He cut his teeth building data driven applications as the lead engineer on Yahoo's in-house Recomme ndation Platform.\n\nJoydeep holds numerous patents\, has many published p apers and has been both speaker and panelist at Hadoop summits and at othe r Silicon Valley conferences.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/the-elephant-in-the-cl oud-TvuVnTkhubsrfofbMnQsKw BEGIN:VALARM ACTION:display DESCRIPTION:The Elephant in the Cloud in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Exploratory Data Analysis with Python DTSTART:20120727T103000Z DTEND:20120727T110000Z DTSTAMP:20260421T083327Z UID:session/UqsQXsSg7vPTaEzxooZo44@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Tutorial CREATED:20190705T035837Z DESCRIPTION:So we have a large data file. We might not know what to do wit h it. We most probably are looking for patterns and trends. With a multitu de of data analysis tools and algorithms at our disposal\, we are often le ft wondering as to what's the right thing to ask of the data.\n\nExplorato ry data analysis is a field which offers tools and algorithms for the most broad\, general look at a piece of data. It is after performing this sort of a global analysis on the data that we can go ahead and think about bui lding a model to describe the data. This tutorial offers insights into the prerequisites for building such models\, and having gained those\, what a ll one could do with the model.\n\nThe tutorial will seek to answer questi ons like:\n - What's the best way to cluster / classify a given dataset?\n - What does the data 'look' like?\n - How has the dataset evolved over ti me?\n - How do I know that I have inferred all I can from the dataset?\n - I see some peculiar trends in the dataset. What might have caused these?\ n - Do all these questions motivate a good machine learning problem?\n\n## # Speaker bio\n\nI am an electrical engineering undergrad at VIIT\, Pune. I've been working as a research assistant in the fields of machine learnin g and signal processing. I am currently working as an intern at Enthought\ , Inc\, where I work on data analysis and visualization. I also contribute code and documentation to the SciPy project.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/exploratory-data-analy sis-with-python-UqsQXsSg7vPTaEzxooZo44 BEGIN:VALARM ACTION:display DESCRIPTION:Exploratory Data Analysis with Python in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Building analyzing and visualizing large graphs DTSTART:20120727T103000Z DTEND:20120727T110000Z DTSTAMP:20260421T083327Z UID:session/8mNEh84apKkxP66LAP2au9@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T035854Z DESCRIPTION:A lot of real world problems can be solved better using graphs . In my talk I cover the basics of solving daily problems using graphs\, m odeling and building larger graphs on existing back-end systems (in- memo ry\,relational\,NoSQL). The talk will also cover some simple algorithms an d tools to analyze and visualize such graphs.\n\nThe lecture will be geare d towards programmers\n\nBrief overview:\n\n* Spotting graphs in your data .\n* Graph models -mostly theory\, I'll keep it short.\n* How to model\, a nd program large graphs(millions of nodes and edges).\n* Persisting such g raphs on existing storage architectures (when switching to a graphDB is n ot an option or an overkill).\n* Visualizing huge graphs -what tools exist and how to build your own\, some algorithms for effective visualization.\ n\n### Speaker bio\n\nI am a co-founder and developer at muHive\, we are w orking on building the worlds best customer engagement platform. more here \n\nhttp://www.linkedin.com/in/ashwinrajiv\nhttps://github.com/winash\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/building-analyzing-and -visualizing-large-graphs-8mNEh84apKkxP66LAP2au9 BEGIN:VALARM ACTION:display DESCRIPTION:Building analyzing and visualizing large graphs in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:How the Internet Archive preserves petabytes of data DTSTART:20120727T110000Z DTEND:20120727T113000Z DTSTAMP:20260421T083327Z UID:session/B6W332WukPUPjAxQeUVTDr@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Beginner,Lecture CREATED:20190705T040001Z DESCRIPTION:The [Internet Archive][ia] has been [archiving the internet][w ayback] since 1996. It also archives and makes available a vast collection of data including films\, audio and books.\n\nThe [Internet Archive][ia] is one of the earliest organizations to work with petabytes of data. It bu ilt its own infrastructure to store\, process and manage its data reliably \, much before the cloud. Being an archive\, preservation of data is the p rimary concern and it affects engineering decisions. \n\nThis talk is an i ntroduction to the Internet Archive and its infrastructure. \n\n[ia]: htt p://archive.org/\n[wayback]: http://web.archive.org/\n\n### Speaker bio\n\ nThis talk will be presented by [Anand Chitipothu][1] and [Noufal Ibrahim] [2]. Both of them are employees of the Archive\, working remotely from Ban galore.\n\nAnand is a software consultant and trainer. He has been working with the Archive since 2007. He is co-ordinator of the [PyCon India 2012 ][3] conference.\n\nNoufal is a freelance trainer and consultant based out of Bangalore.\nFounder of PyCon India and organiser of the first two conf erences in India. \n\n[1]: http://anandology.com/\n[2]: http://nibrahim.ne t.in/\n[3]: http://in.pycon.org/2012/\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/how-the-internet-archi ve-preserves-petabytes-of-data-B6W332WukPUPjAxQeUVTDr BEGIN:VALARM ACTION:display DESCRIPTION:How the Internet Archive preserves petabytes of data in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Approaches to ML techniques on the Real world data. DTSTART:20120727T110000Z DTEND:20120727T113000Z DTSTAMP:20260421T083327Z UID:session/B2c6wYt9ry6fYWWr151nNn@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Demo CREATED:20190705T040015Z DESCRIPTION:List out possibilities of applying various Machine Learning Te chniques to Real World Data. It focuses on what (are available ?)\, why (t o use one or some of them ?) and how (to apply for the problem in hand ?)\ n\nA demo on one/more Real world use cases. This can help an enthusiast to start on .... without digging noise!\n\nA useful scenario would be to lea rn behavioural patterns in social networks. Say\, an algorithm that you ca n train to judge your friends. So you can get some insight in your intutiv e behaviour on the web \;)\nYou can apply these rules may be in training a larger set of your own activities.\n\n### Speaker bio\n\nI am a python de veloper at Agiliq. I hold Master's degree as a Knowledge Engineer. I wonde r how things fit to do some Good work. The best way to be productive is to be practical.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/approaches-to-ml-techn iques-on-the-real-world-data-B2c6wYt9ry6fYWWr151nNn BEGIN:VALARM ACTION:display DESCRIPTION:Approaches to ML techniques on the Real world data. in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:GlusterFS "Big Data" Interface DTSTART:20120727T110000Z DTEND:20120727T113000Z DTSTAMP:20260421T083327Z UID:session/3QJuAv4N1fXe8sGFcurQdj@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Demo CREATED:20190705T040114Z DESCRIPTION:GlusterFS is an open source\, distributed file system capable of scaling to several petabytes and handling thousands of clients. Gluster FS clusters together storage building blocks over Infiniband RDMA or TCP/I P interconnect.\n\nGlusterFS can also be used as a replacement for HDFS an d to run Map/Reduce jobs on data residing on it. GlusterFS Hadoop plugin a llows exisitng Map/Reduce jobs to seamlessly work without any changes. Thi s is done by using Hadoop's FileSystem interface and communicating to Glus terFS via it's native protocol (using FUSE).\n\n### Speaker bio\n\nVenky S hankar works on GlusterFS at Red Hat. He is a Team lead for the Replicatio n team and is also responsible for designing and implementing the Hadoop c ompatibility plugin in GlusterFS. He has about six years of experience in the industry. His interests include System Programming\, Distributed Syste ms\, Big Data.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/glusterfs-big-data-int erface-3QJuAv4N1fXe8sGFcurQdj BEGIN:VALARM ACTION:display DESCRIPTION:GlusterFS "Big Data" Interface in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Build Your Own Search Engine DTSTART:20120727T113000Z DTEND:20120727T120000Z DTSTAMP:20260421T083327Z UID:session/DUnqsagCb87bP8nqAn5Hxm@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T040128Z DESCRIPTION:I plan to cover:\n\n1. The basic idea of a Search Engine\n— 1.1 How is it different from a Database?\n— 1.2 Inverted Index\n\n2. Te chniques for constructing an Inverted Index\n— 2.1 Distributed Indexing \n— 2.2 Dynamic Indexing\n— 2.3 Index Compression\n\n3. Scoring and Ranking\n\n4. Scaling Search\n\n### Speaker bio\n\nSiddhartha leads the Se arch & Product Discovery Team at Flipkart — India's largest catalog of o nline inventory. Prior to this he was at a startup called Ziva Software\, working on Mobile Search and automatic Information Extraction from the Web .\n\nSiddhartha has been working on Information Retrieval and in related a reas for almost seven years. He has a deep love for all things Search — everything ranging from User Experience to Relevance Ranking to Scaling Se arch to Search as a Platform.\n\nSiddhartha loves to work with large scale \, highly available systems and tons of data. He takes particular interest in application of Machine Learning techniques in all kinds of application s.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/build-your-own-search- engine-DUnqsagCb87bP8nqAn5Hxm BEGIN:VALARM ACTION:display DESCRIPTION:Build Your Own Search Engine in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Finding signal in the noise: How to put big data to use DTSTART:20120727T113000Z DTEND:20120727T120000Z DTSTAMP:20260421T083327Z UID:session/8y38HV1pNEK1cKmVpjURKX@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T040142Z DESCRIPTION:Data scientists use a variety of different techniques nowadays to analyze large-scale data and derive valuable insights from them. I wil l cover some of these techniques from machine learning\, NLP and statistic al modeling and how it has been used to uncover insights hidden in the dat a.\n\n### Speaker bio\n\nGoldee Udani is the Founder/CEO of Beevolve. Beev olve offers one of the leading social media monitoring and insights platfo rm in the market today. Prior to Beevolve\, he has worked at two startups in the field of web mining and speech analysis. He has also co-authored a number of research papers and patent on mining data. He has a bachelor’s degree in Computer Science from Gujarat University\, India and a master ’s degree in Computer Science from University of Southern California.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/finding-signal-in-the- noise-how-to-put-big-data-to-use-8y38HV1pNEK1cKmVpjURKX BEGIN:VALARM ACTION:display DESCRIPTION:Finding signal in the noise: How to put big data to use in Aud i 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Building the Infrastructure to Handle Big Data DTSTART:20120727T113000Z DTEND:20120727T120000Z DTSTAMP:20260421T083327Z UID:session/YWSpFMx7NAkVvC9FYTEZVC@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T040200Z DESCRIPTION:Description : \nI’ll be sharing our experience at PromptClou d where we deal with terabytes of data daily. This talk will cover- how to build a multi-purpose technology stack to manage large scale data and the numerous processes that operate on it. We’ll cover following topics in various depths depending upon audience inclination:\n\n1. Automated instal ls for clusters - (Vagrant\, Chef)\n2. Job scheduling (Resque/Celery)\n3. Process and cluster monitoring( God\,Monit\, Sensu)\, peripheral mention o f Nagios\n4. Queue - the perennial suspect( RabbitMQ)\n5. Data storage - H Base\, MongoDB\, Voldemort\, Riak\n6. Dashboard - Sensu\n\nIf there is tim e we can take up code integration and review (git\,gerrit\,jenkins) which are not directly needed but are crucial if the team size dealing with the above mentioned infrastructure increases.\n\n### Speaker bio\n\nSpeaker Bi o : \nPrashant passed out from IIT Kanpur and then joined Yahoo! data tea m where he worked for about a year. Among other things he worked on the analytics for the new version of Yahoo! front page then. \n\nCurrently Pr ashant runs a leading Big data and Cloud computing startup PromptCloud (h ttp://promptcloud.com) where flagship product is large scale data crawl an d extraction and hosted indexing of the data. PromptCloud also deals with Big data analytics but at a limited scale as of now. This talk will be bas ed on many of the learnings at PromptCloud . \n\nPS : I have submitted ano ther talk for Riak\, depending upon which (if any :) ) has enough interest \, we’ll pick one.\n\nLink for the Riak proposal - http://funnel.hasgee k.com/5el/394-riak-robust-and-featureful-distributed-key-value-store\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/building-the-infrastru cture-to-handle-big-data-YWSpFMx7NAkVvC9FYTEZVC BEGIN:VALARM ACTION:display DESCRIPTION:Building the Infrastructure to Handle Big Data in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Your Genome on the Cloud: Big Data Challenges in Personalized Medi cine DTSTART:20120728T040000Z DTEND:20120728T044500Z DTSTAMP:20260421T083327Z UID:session/4wB8fgwuoBa6VoVuJEP2ej@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Beginner,Lecture CREATED:20190705T040228Z DESCRIPTION:The session will have two parts.\n\nThe first part will descri be the evolution of genomic measurement over the last two decades\, survey the current state\, describe how ever reducing costs and increased unders tanding are leading to significant impact on disease diagnosis and cure\, discuss how the world will look in the next 5 years when large numbers of people have their genomes sequenced. \n\nThis will lead to the second part where we will describe the Big Data techniques and challenges in handling large volumes of genomic data: what computations need to be run\, what qu eries need to be handled\, how data needs to flow from site of generation to site of consumption etc. These will include clever ways for text index ing\, fast string matching algorithms\, use of special hardware paradigms (SIMD/GPUs)\, Hadoop based pipelines to large volume processing\, visuali zation methods etc.\n\n### Speaker bio\n\nI am a Computer Scientist/Entrep reneur\, a founder of Strand Life Sciences and an Adjunct Faculty member a t the Indian Institute of Science. My work spans algorithmic problems from a research perspective\, building handheld devices (the Simputer) and spe ech synthesis systems (Dhvani)\, and various software platforms for biolog ical data processing (GeneSpring\, Avadis NGS) as part of Strand Life Scie nces.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/your-genome-on-the-clo ud-big-data-challenges-in-personalized-medicine-4wB8fgwuoBa6VoVuJEP2ej BEGIN:VALARM ACTION:display DESCRIPTION:Your Genome on the Cloud: Big Data Challenges in Personalized Medicine in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Building Watson -- A Brief Overview of DeepQA and the Jeopardy! Ch allenge DTSTART:20120728T044500Z DTEND:20120728T053000Z DTSTAMP:20260421T083327Z UID:session/6ZCnuLCG9onwEnzYXTF5zY@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T040243Z DESCRIPTION:A computer system that can directly and precisely answer natur al\nlanguage questions over an open and broad range of knowledge has been envisioned by scientists and writers since the advent of computers themsel ves. While current computers can store and deliver a wealth of digital con tent created by humans\, they are unable to operate over it in human terms . The quest for building a computer system that can do open-domain Questio n Answering is ultimately driven by a broader vision that sees computers o perating more effectively in human terms rather than strictly computer ter ms. They should function in ways that understand complex information requi rements\, as people would express them\, for example\, in natural language questions or interactive dialogs. Computers should deliver precise\, mean ingful responses\, and synthesize\, integrate\, and rapidly reason over th e breadth of human knowledge as it is most rapidly and naturally produced -- in natural language text.\n\nThe DeepQA project at IBM shapes a grand c hallenge in Computer Science that aims to illustrate how the wide and grow ing accessibility of natural language content and the integration and adva ncement of\nNatural Language Processing\, Information Retrieval\, Machine Learning\,\nKnowledge Representation and Reasoning\, and massively paralle l\ncomputation can drive open-domain automatic Question Answering\ntechnol ogy to a point where it clearly and consistently rivals the\nbest human pe rformance. A first stop along the way was the Jeopardy!\nChallenge\, where a computer system beat human grand champions in the game of Jeopardy!. In this talk\, we will give an overview of the\nDeepQA project and the Jeopa rdy! Challenge.\n\n### Speaker bio\n\nKarthik Visweswariah is a Senior Tec hnical Staff Member at IBM\nResearch\, India. His primary interests are in statistical modelling\napplied to text and speech. Prior to joining IBM R esearch\, India in\n2008 he spent 8 years at IBM's T.J. Watson Research Ce ntre in the\nHuman Language Technologies group working on improving speech \nrecognition technologies in IBM's products. His current focus is on\nimp roving machine translation for translating between Indian languages and En glish. He has published over 60 papers in these areas in various refereed journals and conferences. He obtained his Ph.D from Princeton University i n 1999 and B.Tech from Indian Institute of Technology\, Madras.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/building-watson-a-brie f-overview-of-deepqa-and-the-jeopardy-challenge-6ZCnuLCG9onwEnzYXTF5zY BEGIN:VALARM ACTION:display DESCRIPTION:Building Watson -- A Brief Overview of DeepQA and the Jeopardy ! Challenge in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Exponential Growth Models and Impact on Sales Forecast\,Data Volum e\, Query Latency\, Capacity Planning and Search Latency DTSTART:20120728T060000Z DTEND:20120728T064500Z DTSTAMP:20260421T083327Z UID:session/6MLFTzc5dYQzMyMdQvPbw9@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Beginner,Lecture CREATED:20190705T040256Z DESCRIPTION:-Exponential Growth markets\n---- Analyze mathematically the m arket spaces \n Word of mouth Facebook\, Foursquare\, Twitter\, Fli pkart\n Advertising driven growth and mathematical model \n\n---- M odel Fertility in other domains\n - Radioactive decay\n - Revolution\, Love\, Infatuation\n - Mosquito/Allergens distribu tion with height\n\n----- Basic Demand Forecasting\n Base demand\ n Trends on demand\n Seasonality on demand\n Peak Demand Modelling (Exponential + Poisson)\n\n---- Impact to OLTP\n Web Scaling\n Scaling Message Systems - traditional databases ->C ustom solutions\n Caching \n Large DB scaling (compressio n\, indexing\, archiving\, sharding and federated query)\n\n---- Impact to OLAP \n Hadoop and Scaling operations\n Recommendation systems and the impact from time series\n\nWhen does exponential growth e nd? \n Epidemic models applied here\n How to prevent exponent ial growth of a competitor (vaccine models in disease spread)\n\nQ&A\n\n## # Speaker bio\n\nAshok Banerjee is VP of Data Platform and Supply Chain En gineering at Flipkart and has to date 22 patents approved and counting. Pr ior to Flipkart Ashok has worked at Twitter in San Francisco and Google in Mountain View. \n\nExperience Summary (reverse chronologically)\n\nAshok today leads the technology team for Data Platform and the largest online S upply Chain infrastructure in India (Flipkart)\n- At Google he led a large scale Datawarehouse infrastructure which converts SQL (approximately) int o execution on a platform built on MapReduce\, GFS\, Columnar compressed d ata using block oriented computing. This was at the scale of many billion rows added per day (cannot disclose how many billions)\n- At Google Ashok had led the payment processing infrastructure which processes payments for Adwords\, Adsense\, Checkout and Google Apps\nAt BEA he worked on WebLogi c Server and led infrastructure teams on EJB Container\, Web Container\, C lassloading\, Application Deployment within a Server etc. \n- At Oracle As hok led the Oracle Application Server Clustering infrastructure and also w orked on EJB container and RMI-IIOP Protocols\n\nAshok takes interest in L arge Data Systems (Databases and alternative databases - NOSQL\, Message S ystems)\, Parallel Computing\, Distributed Systems\, Fault Tolerant Comput ing\, Database\, Recommendation Systems\, Supply Chain and Mathematical Models and Investments.\n\n\nOn the non-work side Ashok enjoys - sailing\, wind surfing\, horse riding\, german shepherd dogs and soccer.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/exponential-growth-mod els-and-impact-on-sales-forecast-data-volume-query-latency-capacity-planni ng-and-search-latency-6MLFTzc5dYQzMyMdQvPbw9 BEGIN:VALARM ACTION:display DESCRIPTION:Exponential Growth Models and Impact on Sales Forecast\,Data V olume\, Query Latency\, Capacity Planning and Search Latency in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Data Explosion in Medical Imaging DTSTART:20120728T060000Z DTEND:20120728T064500Z DTSTAMP:20260421T083327Z UID:session/MZ67WPxhyHst2AzWDzHcpf@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Lecture CREATED:20190705T040306Z DESCRIPTION:This is a journey through a marshy problem land. \n \nWe take a look at the basics of medical imaging\, the structure and size of the da ta generated and explore the challenges of large data archival\, compressi on techniques\, and image transfer across low-bandwidth network.\n \nFinal ly\, we wrap up with possible directions of research where independent res earchers can make progress\, necessary open source toolkits needed and whe re to get the relevant datasets from.\n \n(While I draw upon my experience s from my career\, the talk is fairly vendor-neutral and does not represen t my company.)\n\n### Speaker bio\n\nShourya is a Senior Engineering Manag er at GE Healthcare and currently leads the development team for enterpri se image store. He started as a programmer in the common platforms group and has wandered in the realm of large data management\, image reconstruct ion and clinical visualization for the last 12 years.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/data-explosion-in-medi cal-imaging-MZ67WPxhyHst2AzWDzHcpf BEGIN:VALARM ACTION:display DESCRIPTION:Data Explosion in Medical Imaging in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:RTI & Data: Opportunities\, Issues & Challenges DTSTART:20120728T060000Z DTEND:20120728T064500Z DTSTAMP:20260421T083327Z UID:session/6wCMGpUTe5ppBiTw89CSba@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Discussion CREATED:20190705T040315Z DESCRIPTION:To explain:\n- What kind of data can you get from the governme nt via RTI\n- What this data can be used for\n- How to get government data using RTI\n- Issues faced when asking government organizations for RTI. E xamples and case studies\n- Issues with Data received via RTI\n- To discus s ideas for making government data public\n\n### Speaker bio\n\nNikhil Pah wa is the founder\, Editor & Publisher of MediaNama\, a news and analysis website chronicling the development of the digital business in India.\n\nW e've been using the RTI since March 2011 to get information on government policy and for extracting data which should be in the public domain. We've filed for data\, been rejected\, got incorrect data\, filed appeals and p ublished charts and data analysis.\n\nWe also launched a site called Media NamaCharts.com\, with interactive charts using Tableau\, which we couldn't sustain.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/rti-data-opportunities -issues-challenges-6wCMGpUTe5ppBiTw89CSba BEGIN:VALARM ACTION:display DESCRIPTION:RTI & Data: Opportunities\, Issues & Challenges in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:The Elephant that Flew - Big Data Analytics @ InMobi DTSTART:20120728T064500Z DTEND:20120728T073000Z DTSTAMP:20260421T083327Z UID:session/N7PH7qyDjZUdAsC8wfLXui@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T040407Z DESCRIPTION:Data processing\, analysis and visualization of data at a scal e at which web systems (like InMobi) operate\, is a very hard problem. I'l l discuss the evolution of the data analytics at InMobi - the approaches t hat we tried\, the challenges faced\, and our rationale to develop an in-h ouse analytics system on top of Hadoop. I will be discussing the details o f this system (moderate level)\, how it is helping us attain better effici ency levels and what future directions could it take. I will also be doing a demo of the capabilities of this system towards the end of the talk.\n\ n### Speaker bio\n\nGaurav Agarwal currently leads the Data Analytics syst em at InMobi. He has 5+ years of experience building analytics for extreme ly large amounts of data at InMobi and\, previously\, at Google. He holds a Masters degree in Computer Science from University of California.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/the-elephant-that-flew -big-data-analytics-inmobi-N7PH7qyDjZUdAsC8wfLXui BEGIN:VALARM ACTION:display DESCRIPTION:The Elephant that Flew - Big Data Analytics @ InMobi in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Open data and the life sciences: An open world DTSTART:20120728T064500Z DTEND:20120728T073000Z DTSTAMP:20260421T083327Z UID:session/LKQRZdo9546gRs3DaHV6e3@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Lecture CREATED:20190705T040419Z DESCRIPTION:Introduction to the semantic web. Dealing with data deluge an d disparate data in the Life Sciences. What are the industry drivers? How can this data be mined to generate new hypothesis and forge new paths to better health care? Will end with a brief description of DIstilBio and specific use cases in pharma and health care.\n\n### Speaker bio\n\nKalpan a is passionate about building robust applications in the science\, techno logy and elearning space. Her extensive startup experience is backed by a strong technical background (co-founded Jigyasa - an NSF funded eLearning\ , Instantiations Inc. - now acquired by Google). Kalpana has over two deca des of experience in developing\, managing and bringing new products to th e market. She has worked in places like UNC\, Chapel Hill\, North Carolina Supercomputing Center\, GE\, CambridgeSoft. Kalpana has an integrated MS from IIT\, Delhi and a second MS in computational chemistry from Wright St ate University.\n\nKalpana is currently the CEO of Metaome which she co-fo unded\, where she helped envision the creation of DistilBio\, a semantic s earch and discovery platform. Kalpana is an invited expert on the W3C spe cial interest group on health care and life sciences.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/open-data-and-the-life -sciences-an-open-world-LKQRZdo9546gRs3DaHV6e3 BEGIN:VALARM ACTION:display DESCRIPTION:Open data and the life sciences: An open world in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Aadhaar - world's largest biometric identity platform (200 trillio n biometric matches per day\, 2 PB of data) DTSTART:20120728T064500Z DTEND:20120728T073000Z DTSTAMP:20260421T083327Z UID:session/GJui9sMyE1ykmjUgjyfr6A@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Lecture CREATED:20190705T040426Z DESCRIPTION:Aadhaar has unique compute and data challenges that exhibit al l characteristics of Big Data - Volume\, Variety and Velocity. The challen ge is to derive Value from these attributes.\n---------------------------- --------------------------------------------------\nA number of technologi es have been used to handle massive parallel processing\, streaming data r eads\, data locality computing\, low latency reads\, data integrity and ch allenges of dealing with distributed data - best explained by the CAP theo rem.\n---------------------------------------------------------------\nBig Data solutions are used in building both OLTP and Analytics systems in Aa dhaar.\n-----------------------------------------------------------------\ n# Get to know how the following technologies are used:\n* Hadoop stack : HDFS\, HBase\, Hive\, Pig\, Zookeeper\n* MySQL : sharded\, partitioned\, d istributed\n* SEDA : Mule\, RabbitMQ\n* Search : MongoDB\, sharded Solr\n* Compute Grid : Spring\, GridGain\n* Monitoring : Custom built\, Nagios\n* Analytics & Visualization\n* Deployment footprint : Thousands of CPU core s\n* Extensive Data archival\, DR\n\n### Speaker bio\n\nDr. Pramod Varma i s currently Chief Architect at UIDAI. He joined UIDAI in 2009 and has been pivotal in ensuring an open\, scalable\, and secure architecture is built to meet the needs of Aadhaar project. He leads the overall technology and application architecture and application development within UIDAI Technol ogy Unit and is based in Bangalore.\n------------------------------------- ----------------------------------\nBefore joining UIDAI in July 2009\, he was the Chief Technology Architect and Vice President of Research at Ster ling Commerce\, now part of IBM. He joined Sterling in 2005 when Sterling Commerce acquired Yantra Corporation\, a leading supply chain software com pany based in Boston. He was one of the founders of Yantra and was the Vic e President of Technology.\nPramod holds a Masters and Ph.D. degree in Com puter Science along with a second Masters in Applied Mathematics. \n------ -----------------------------------------------------------------------\nR egunath is Principal Architect of Aadhaar and Chief Architect at MindTree. He has created IP based solutions on SOA. He is passionate about Open Sou rce and committer on the MindTree Insight project. Regunath has been an in vited speaker on forums like OSI Days and iCMG architecture summit. He is a guest columnist at CIOUpdate and blogs frequently on technology subjects .\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/aadhaar-worlds-largest -biometric-identity-platform-200-trillion-biometric-matches-per-day-2-pb-o f-data-GJui9sMyE1ykmjUgjyfr6A BEGIN:VALARM ACTION:display DESCRIPTION:Aadhaar - world's largest biometric identity platform (200 tri llion biometric matches per day\, 2 PB of data) in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Messaging architecture at Facebook DTSTART:20120728T083000Z DTEND:20120728T090000Z DTSTAMP:20260421T083327Z UID:session/HHfVWXahwoumw4hePyaxcT@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Advanced,Lecture CREATED:20190705T040442Z DESCRIPTION:Building a scalable messaging backend for a Billion user is Ha rd. This talk covers the initial design days when the Facebook messaging a rchitecture was being decided.\n\nShould back-end stores be eventually or strongly consistent? How much availability is highly available? Should we build services or components? How big does a piece of software have to be before it stops being a component. How can a back-end be built for an appl ication that's yet to be designed? Is it possible to simulate a billion us er workload - and does it help?\n\nThe issues faced by the design team ran ged from the technical to the philosophical - to ultimately the practical. This talk will explore some of these areas.\n\n### Speaker bio\n\nJoydeep is a co-founder at Qubole and heads their India development team. Prior t o starting Qubole - Joydeep worked at Facebook where he boot-strapped the data processing ecosystem based on Hadoop\, started the Apache Hive projec t and led the Data Infrastructure team. Joydeep was a key contributor on t he Facebook Messages architecture team that brought Apache HBase to Facebo ok and to the transactional and reporting backends for Facebook Credits. H e has been a driver for other important sub-projects in the Hadoop ecosyst em - like the FairScheduler and RCFile. Joydeep studied Computer Science a t IIT-Delhi and University of Pittsburgh and started his career working on Oracle's database kernel and building highly available and scalable file systems at Netapp. In between - he has played founding roles in storage an d advertising startups. He cut his teeth building data driven applications as the lead engineer on Yahoo's in-house Recommendation Platform.\n\nJoyd eep holds numerous patents\, has many published papers and has been both s peaker and panelist at Hadoop summits and at other Silicon Valley conferen ces.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/messaging-architecture -at-facebook-HHfVWXahwoumw4hePyaxcT BEGIN:VALARM ACTION:display DESCRIPTION:Messaging architecture at Facebook in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Analytics Platform - Experience and evolution DTSTART:20120728T083000Z DTEND:20120728T090000Z DTSTAMP:20260421T083327Z UID:session/FqK3pj8dP65rWxsYLBT1td@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Discussion CREATED:20190705T040500Z DESCRIPTION:Analytics is an involving ask\; the challenges are multi-fold. On one side\, the technology required to handle huge data volumes\, & on the other side\, needs of the customer & domain which constantly evolve. A dd to that\, the demands of instantaneous data availability. In the course of developing an analytics solution for media consumption & then extendin g it to other domains (ex. security)\, we learnt a lot & this talk is all about sharing the same. \n\nHere is how we will go about that talk -\n\n* An introduction to Akamai Media Analytics\, the product & the domain\n\n* The technology infrastructure that runs it for us - at an architectural le vel. The nuances of delayed reporting & near real time reporting\n\n* The data & reporting flexibility that empowers our customers\; how the platfor m makes it happen\n\n* Q&A\n\n### Speaker bio\n\nPrasad A N\, Manager with Akamai Media Engineering\, leads the development of Analytics infrastruct ure & products.\n\nGirish Chandramohan\, Architect with Akamai Media Engin eering\, designs & implements Analytics infrastructure concerns.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/analytics-platform-exp erience-and-evolution-FqK3pj8dP65rWxsYLBT1td BEGIN:VALARM ACTION:display DESCRIPTION:Analytics Platform - Experience and evolution in Audi 2 in 5 m inutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:the aRt of NSSO data DTSTART:20120728T083000Z DTEND:20120728T090000Z DTSTAMP:20260421T083327Z UID:session/JmqairG6JMnqJfqeXGcbkS@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Intermediate,Lecture CREATED:20190705T040512Z DESCRIPTION:First part of the session demystifies the organisation of raw data published by NSSO. We discuss the different rounds and schedules of data collection by NSSO\, and the specificities of the published datasets. \n\nIn the second part\, we discuss the process of extracting the raw data into formats that can be statistically manipulated and the challenges the rein.\n\nWe conclude by briefly noting few R libraries that can be used fo r exploratory visualisation of the extracted data.\n\n### Speaker bio\n\nI am a researcher with linked interests in political economy\, urban transf ormations\, social and spatial theories and in issues of technology and so ciety.\n\nPreviously a student of economics\, I am keenly interested in da ta visualisation and web-based mapping\; as well as in critical perspectiv es on and political dimensions of data resources and its use for governanc e or in everyday contexts.\n\nMore: http://ajantriks.net\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/the-art-of-nsso-data-J mqairG6JMnqJfqeXGcbkS BEGIN:VALARM ACTION:display DESCRIPTION:the aRt of NSSO data in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Real Time Intelligent Systems & Big Data Streams DTSTART:20120728T090000Z DTEND:20120728T093000Z DTSTAMP:20260421T083327Z UID:session/8nk28qVPBh9dr4gppW8UKb@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T040525Z DESCRIPTION:Moving to real time\, “anticipation denotes intelligence”. There is and will be vast potential for improved performance using appli ed predictive analytics\, real time in many domains. The oncoming onslaugh t of sensor data\, beyond the firewall generated content\, all injected in to the enterprise. For the advanced analytics and data mining community\, what differentiates is the consumption of analytics. Use off the shelf com ponents to stitch a system together\, bolt on some machine learning algori thms\, and optimize. Join us for a lively discussion of a few applied exa mples.\n\n### Speaker bio\n\nDeepinder Singh Dhingra is the Head of Produc t & Commercialization at Mu Sigma. In his role\, Deepinder is responsible for recommending solutions that can scale and meet customer requirements i n real time\, with the help of assets that are developed in Mu Sigma. \nDe epinder has over twelve years of experience in consulting and sales roles. He has previously worked for various enterprise software firms in the are as of business planning and business intelligence. Prior to Mu Sigma\, Dee pinder worked for Spotfire where he led Pre-Sales for the Financial Servic es vertical servicing major investment banks\, asset management companies and hedge funds. He has also served as a Senior Consultant at Demantra and i2 Technologies.\nDeepinder holds a Masters in Engineering from the Unive rsity of Massachusetts\, Amherst and a Bachelors in Chemical Engineering f rom IIT\, Kanpur.\n\nSMS Chauhan graduated from IIT Kanpur and then joined the Innovation and Development team in Mu Sigma\, where he has worked for about four years. In the past\, SMS has worked in the area of Real Time A nalytics. He is currently working on the development of the Mu Sigma Real- time Intelligence Platform(MRIP)\, a technology solution which enables rap id development of analytics applications.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/real-time-intelligent- systems-big-data-streams-8nk28qVPBh9dr4gppW8UKb BEGIN:VALARM ACTION:display DESCRIPTION:Real Time Intelligent Systems & Big Data Streams in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:The Data Journalism Handbook DTSTART:20120728T090000Z DTEND:20120728T093000Z DTSTAMP:20260421T083327Z UID:session/5wbDpxRuKK3PevxdqVbJXk@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Discussion CREATED:20190705T040536Z DESCRIPTION:We live in an information age\, where journalists previously h ad to work like hunter-gathers\, they are now drowning in data. The Data J ournalism Handbook aims to help them learn to sail the data seas\, targeti ng questions such as 'where can I find data?'\, 'how do I work with it?' a nd 'how do I present it to the public?'. \n\nThis session will be a discus sion of data journalism and how to get started and also of the data journa lism scene in India.\n\n### Speaker bio\n\nLucy Chambers is a Community Co ordinator at the Open Knowledge Foundation. She works on the OKFN's OpenSp ending.org project and Spending Stories\, a Knight News Challenge Winner 2 011 - helping journalists build context around and fact check spending dat a. She also coordinates the data-driven-journalism activities of the Found ation\, running training sessions for journalists on how to find\, work wi th and present data and was one of the editors of the Data Journalism Hand book.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/the-data-journalism-ha ndbook-5wbDpxRuKK3PevxdqVbJXk BEGIN:VALARM ACTION:display DESCRIPTION:The Data Journalism Handbook in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:How your favorite retailers make money from analytics? DTSTART:20120728T090000Z DTEND:20120728T093000Z DTSTAMP:20260421T083327Z UID:session/GUbqgiqvnQbfZpM2Bi5PCe@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T040544Z DESCRIPTION:This lecture would be covered with various statistical techniq ues which can reduce the marketing costs of the retailer & understand the customer in detail. It also covers the best practices used in the industry to get quick returns over the investment in retail especially.\n\n### Spe aker bio\n\nSridhar Bollam heads Analytics at Capillary Technologies PVT L TD. Capillary is one of the provider with a unique solution for the retail ers. It provides a technology for the next generation with Instant analyti cs & Various tailor made customer engagement plans. Prior to Capillary\, h e has worked for 2 other start-ups in the field of predictive analytics & Data mining. He has a bachelor's degree from Indian Institute of technolog y\, Kharagpur.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/how-your-favorite-reta ilers-make-money-from-analytics-GUbqgiqvnQbfZpM2Bi5PCe BEGIN:VALARM ACTION:display DESCRIPTION:How your favorite retailers make money from analytics? in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Recommendation Play @Flipkart DTSTART:20120728T093000Z DTEND:20120728T100000Z DTSTAMP:20260421T083327Z UID:session/MfzhQdUebyQ2DhfcacRPUk@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Intermediate,Lecture CREATED:20190705T040557Z DESCRIPTION:Product discovery is an important step in users interaction wi th an ecommerce website and recommendation systems play a very useful part in the discovery process. Recommendation Systems aim to predict the user ’s intent and help connect them to products they need or may be interest ed in. Recommending the right set of products for every user\, understandi ng his intent and foreseeing the future requirements is very important. Th is becomes ever so important with increasing size of the catalog\, making it harder for every user to express their intent through well formed queri es.\n\nIn this talk we’ll motivate different ways in which recommendatio n systems simplify and enrich the discovery/decision process. We will talk about various types of recommendations and algorithms aimed at mining the collective intelligence from the users of our website. We will cover the challenges faced while building the flipkart recommendation system: \n\n- -Where to begin\n\n--How and what data to collect from users\n\n--Analyzin g and understanding the above data to mine personal tastes and behaviour p atterns\n\n--Scaling challenges and achieving performance both at the fron tend and the backend\n\n### Speaker bio\n\nGaurav Bhalotia is the Director of Engineering for the Customer Platform at Flipkart. He has interest in information retrieval\, search\, categorization and related technologies a nd has several years of experience building scalable solutions around thes e. Prior to this he was leading teams at Kosmix (now @walmartlabs) and Ret revo building scaleable intelligent solutions.\n\nRenuka and Pavan are the engineers behind Flipkart Recommendation System. They built the initial e ngine and have taken it through several improvements to a stage where it i s a significant and important part of product discovery at Flipkart.\n\nRe nuka Khandelwal is SDE2 at Flipkart. Prior to joining Flipkart\, she was w ith Siemens as Research Engineer in the Distributed System Team. Her major work is around Information Retrieval\, Data Mining\, Distributed Systems etc. \n\nPavan is working with Flipkart as SDE2. Prior to this\, he was with Oracle working on the Security Framework for the Oracle Enterprise Ma nager. Post Graduated from IIT Madras\, passionate to solve the complex al gorithmic problems.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/recommendation-play-fl ipkart-MfzhQdUebyQ2DhfcacRPUk BEGIN:VALARM ACTION:display DESCRIPTION:Recommendation Play @Flipkart in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Social Media & Text Analytics using Open Source Tools DTSTART:20120728T093000Z DTEND:20120728T100000Z DTSTAMP:20260421T083327Z UID:session/RUck4WKm7YLYSERFQgUKaC@hasgeek.com SEQUENCE:2 CATEGORIES:Data Analytics,Beginner,Lecture CREATED:20190705T040632Z DESCRIPTION:You don't need the most expensive Text Mining Tools or even e xpensive software to start doing Text Analytics. This session will first c over Social Media Analytics and the range of work that can be done in anal yzing Social Media Data. We will then look at a simple framework for doing text analytics and a demo of the same using Rapid Miner. We will also tal k about some libraries available in R and Python to start doing Social Med ia Analytics and any other Text Analytics as well.\n\n### Speaker bio\n\nR andhir is an Online and Social Media Analytics Professional with over 10 y ears of Analytics and Retail IT consulting experience. He has consulted wi th Retail and Technology giants such as Gap\, Nordstrom\, DELL\, Bestbuy a mong others. He started his career as a Developer with Infosys and moved o nto a Project Management role. He also counsels young professionals on imp roving their resumes at http://resume2jobs.net. You can read more about Ra ndhir at www.linkedin.com/in/randhir or www.randhir.net.\n\nSanjeev Mishra is the Co-Founder of Convergytics and has over 13 years of analytics expe rience with companies such as GECIS\, TNS and Mu Sigma and has consulted w ith the likes of DELL and The Home Depot. His company has designed a uniqu e end-to-end social media solution using open source tools and he will be talking about it during this lecture as well.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/social-media-text-anal ytics-using-open-source-tools-RUck4WKm7YLYSERFQgUKaC BEGIN:VALARM ACTION:display DESCRIPTION:Social Media & Text Analytics using Open Source Tools in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Targeting the Moment of Truth: Using Big Data in Retail DTSTART:20120728T093000Z DTEND:20120728T100000Z DTSTAMP:20260421T083327Z UID:session/V2amN7CR4zYqREyqV2yt62@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Lecture CREATED:20190705T040645Z DESCRIPTION:The key moment of truth for a customer is when he or she makes the choice to take a product from the shelf and put it in to the shopping cart at a store or clicks on the add to my shopping cart button on a web site. \n\nRetailers have been for decades trying to crack this moment of t ruth - how to steer individuals to the right product at the right price an d the right channel. Now with the capability to process big data\, retaile rs have finally started to effectively combine customer data [like demogr aphics\, psychographics\, purchase history\, social\, mobile and location information) with their product offerings and purchase context / channels to take crack at this problem. \n\nIn this session\, we walk through the typical challenges that retailers face in this area and see how some of th e leading retailers have started to harness big data to crack the code.\n\ n### Speaker bio\n\nAmit writes\, teaches and consults on a number of topi cs including telling stories with data\, conducting analytics and data vis ualizations and working with small retail\, consumer and internet companie s to scale up. He worked as a management consultant advising consumer and retail companies over the last decade\, first with ATKearney in India and then with Booz & Company in Europe. He completed his undergraduate B. Tech degree from IIT Delhi and a PGDM from IIM Ahmedabad.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/targeting-the-moment-o f-truth-using-big-data-in-retail-V2amN7CR4zYqREyqV2yt62 BEGIN:VALARM ACTION:display DESCRIPTION:Targeting the Moment of Truth: Using Big Data in Retail in A udi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Application of Data analytics in Small / Medium Enterprise plannin g DTSTART:20120728T103000Z DTEND:20120728T110000Z DTSTAMP:20260421T083327Z UID:session/UcfegnNpbUuNJdp5irBLcx@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Lecture CREATED:20190705T040701Z DESCRIPTION:Most mature Small / Medium enterprises (SMEs) have their workf low digitized. Transactions - purchases\, sales are captured in an IT syst em. However\, these IT systems are primarily used transactionally - for bi lling\, receivables\, cash flow\, balance sheet\, and inventory.\n\nDecisi on making in SMEs is largely the entrepreneur's intuition driven. More obj ectivity\, however\, can be brought about in this decision making by using the historical transactional data for forecasting\, production / purchase planning\, pricing\, marketing planning and much more.\n\nEntrepreneur's own low understanding of what can be done with data\, low prevalence of bu siness analytics skill sets amongst the local software vendors\, and absen ce of an affordable ready to use smart analytics products hinder this.\n\n We describe an application of such concepts of such tools from Surat's tex tile industry\, and a proposed architecture for such a tool.\n\n### Speake r bio\n\nI did my BTech in Computer Science from IIT Kanpur\, started off my grad school at MIT\, moved back to India to work at Google\, before co- founding a social business on healthcare for the poor (Swasth India). Last few months\, I've been working on 2 ventures - one a data analytics solut ions company for SMEs\, and the other - a textile e-commerce company\, bot h in the context of Surat's textile industry. My learnings / presentation will be based on these learnings.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/application-of-data-an alytics-in-small-medium-enterprise-planning-UcfegnNpbUuNJdp5irBLcx BEGIN:VALARM ACTION:display DESCRIPTION:Application of Data analytics in Small / Medium Enterprise pla nning in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Structuring data from surveys - A case study from a slum survey co nducted in 2010 DTSTART:20120728T103000Z DTEND:20120728T110000Z DTSTAMP:20260421T083327Z UID:session/6K5Lp7gDPdrK9u46Ju4R9h@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Intermediate,Lecture CREATED:20190705T040708Z DESCRIPTION:An extensive survey was carried out across 1000+ households in 36 slums across Bangalore by NGIL\, CSTEP in 2010. We will talk about the process of data collection and cleanup and the challenges that we faced d uring the data collection and during cleanup. We will also give an overvie w of the database schema we designed for the survey.\n\n### Speaker bio\n\ nAditi Murthy is a researcher at Fields of View\, a non-profit organisatio n working on problems related to urban systems and public safety & securit y. She has two years experience in working with market simulations\, game design and working with datasets. She was involved in the cleanup process of the slum survey data at NGIL and is involved in its analysis at Fields of View.\n\nOnkar Hoysala is a researcher at Fields of View. He has 2 year s research experience developing games and simulations for urban systems a nd disaster management. He was involved in the data cleanup and schema des ign for the slum database at NGIL and is trying to look at using the data to develop models at Fields of View.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/structuring-data-from- surveys-a-case-study-from-a-slum-survey-conducted-in-2010-6K5Lp7gDPdrK9u46 Ju4R9h BEGIN:VALARM ACTION:display DESCRIPTION:Structuring data from surveys - A case study from a slum surve y conducted in 2010 in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:From Data to Action (in Retail Banking) DTSTART:20120728T103000Z DTEND:20120728T110000Z DTSTAMP:20260421T083327Z UID:session/R6KMTvtQPYtsTzGHCFwgFn@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Intermediate,Lecture CREATED:20190705T040720Z DESCRIPTION:Let’s take an example.\n\nConsider a retail bank offering sa vings products to its customers. It collects all kinds of data – the cus tomers\, the transactions they do\, the amounts of money they keep in thei r accounts. Let’s take a random piece of data.\n\nCustomer x001: ATM use r: Yes\nCustomer x002: ATM user: No\n\nNow what?\n\nBy itself this piece o f data means nothing beyond what it is. To make anything from it\, one nee ds something else – a purpose. I must want to do something for which thi s piece of data can do something.\n\nPurpose is context dependent. If I am in charge of ATM usage at the bank\, my purpose is to increase the number of people using ATMs. For this I need to make the ATM services more custo mer friendly. But what is “customer-friendly”? And how will this piece of data help me?\n\nThe point being made here is that generating the data report is not the end of the process. It is not even the beginning. It is a small input into a larger context. In the above example\, the ATM Manag er will\, most probably\, follow a chain of thinking that goes a bit like this:\n\nWho are the customers who are using the ATM? What do they find at tractive about it?\nWho are the customers who are not using the ATM? What is holding them back?\n\nFrom the random piece of data\, the ATM manager n eeds to extract some relevant information and from that perceive a critica l insight that can take him closer to a solution. For example:\n\nProfile of ATM non-user:\n77% are senior citizens\n68% are rural customers\n44% ar e women\n23% are High Networth Individuals (average account balance > 500\ ,000)\n\nThe above is information gleaned from churning the data. But what useful insight can one draw from it? For this the ATM Manager needs to go beyond the data and study the human beings. An example:\n\nWomen are scar ed of entering ATMs alone. They look at the ATM kiosk as a place where th ey may get robbed\, attacked\, etc. They prefer to go to a branch where th ere is safety in crowds.\n\nNow\, the ATM manager has something concrete t hat he can act upon:\n\nMake ATMs safer for women – relook at lighting\; location\; behavior of security guards\, etc.\n\nThus\, we have a journey from a random piece of data to concrete action points. This journey is wh at fulfills the promise of data. And this journey happens not in the compu ter but in the mind of the user. There is a thinking process that works ba ckwards from the purpose and asks the right questions\, supplements the da ta with appropriate additional information and designs hypotheses for acti on.\n\nHow do we enable the user to make this journey each time\, every ti me?\n\n### Speaker bio\n\nI work as a Knowledge Practices Specialist in Il lumine Knowledge Resources Pvt Ltd. We work on ways in making knowledge en abling to people in diverse contexts - government\, corporate organisation s (banking\, financial services\, oil retailing\, software)\, education\, health\, social settings\, etc. I have been working here for 6 years. Prio r to that I was in advertising\, Internet marketing\, IT marketing and CRM spaces. I have done my post graduation from IIM Bangalore (1998) and grad uation from St Xaviers Mumbai (Mumbai University)\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/from-data-to-action-in -retail-banking-R6KMTvtQPYtsTzGHCFwgFn BEGIN:VALARM ACTION:display DESCRIPTION:From Data to Action (in Retail Banking) in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Towards Social Semantic Tools DTSTART:20120728T110000Z DTEND:20120728T113000Z DTSTAMP:20260421T083327Z UID:session/VZqMcWQjdeAW6Ci5gXuKbf@hasgeek.com SEQUENCE:2 CATEGORIES:Big Data Infrastructure & Processing,Intermediate,Demo CREATED:20190705T040742Z DESCRIPTION:An example of a conversation related to a certain context that is happening elsewhere is the case of the following blog. The author\, sa y J\, of the blog post http://jace.zaiki.in/2012/06/26/technology-outsourc e-vs-open-source has disabled comments on the post in his own blog but has suggested a link where the comments and discussion could go on. The disc ussion could also have also been on twitter\, facebook or a blog. We show how this discussion in particular and other discussions of interest can be pulled together on to the same page/context of the post of the original a uthor so one need not click through to go elsewhere for discussions. After this example\, we briefly describe how this technique can be used by anyo ne to develop digital heritage walks by assimilating relevant content on t he web.\n\n### Speaker bio\n\nArvind is a FOSS enthusiast. He has been wo rking on web and semantic technologies for almost 2 years now.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 1 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/towards-social-semanti c-tools-VZqMcWQjdeAW6Ci5gXuKbf BEGIN:VALARM ACTION:display DESCRIPTION:Towards Social Semantic Tools in Audi 1 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Analytics is a magic wand for HR professionals DTSTART:20120728T110000Z DTEND:20120728T113000Z DTSTAMP:20260421T083327Z UID:session/Wy8YjH8PfWFig2FTEqustC@hasgeek.com SEQUENCE:2 CATEGORIES:Industry & Business,Beginner,Lecture CREATED:20190705T040751Z DESCRIPTION:This session is intended to showcase the power of analytics as a problem solver in the HR space. For years\, the Human Resources functio n grapples with some fundamental challenges\, especially around Hiring Eff ectiveness\, Employee Retention and Resource Optimization. I intend to sha re some analysis frameworks that could be very useful in addressing these issues and can yield very powerful insights.\n\n### Speaker bio\n\nI am a Consulting Services Delivery Leader at BRIDGEi2i and have about 10 years e xperience in in Analytics Consulting\, Research\, Data Mining & Statistica l Modeling. \nI have been involved in some very interesting consulting ass ignments for large organizations in the HR Analytics space. This is an at tempt to share that experience for the benefit of HR professionals and any body else interested in the topic.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 2 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/analytics-is-a-magic-w and-for-hr-professionals-Wy8YjH8PfWFig2FTEqustC BEGIN:VALARM ACTION:display DESCRIPTION:Analytics is a magic wand for HR professionals in Audi 2 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT BEGIN:VEVENT SUMMARY:Financial Market and Economic Data DTSTART:20120728T110000Z DTEND:20120728T113000Z DTSTAMP:20260421T083327Z UID:session/5atkqcYKvYBG457xSqb3Vp@hasgeek.com SEQUENCE:2 CATEGORIES:Data Visualization,Intermediate,Lecture CREATED:20190705T040759Z DESCRIPTION:Financial markets create massive amounts of data\, from produc t documentation to traded prices. And you find that one piece of informati on is related to another\, or depends on it or is otherwise correlated. Th e use of innovative techniques to visualize data is not just for eye-candy or appeal\, but will hugely influence business or investing decisions. I propose to demonstrate what has been done and what you can do with market data.\n\n### Speaker bio\n\nDeepak Shenoy writes on Money\, Markets and Tr ading at [Capital Mind](http://capitalmind.in "Capital Mind") and runs [Ma rketVision](http://marketvision.in) \, a financial knowledge company. He h as over seven years of experience in the capital markets\, and analyzes ma rket data and economic information for a living. He also likes to play bad minton and squash\, and climb rocks\, even if he doesn't look the part.\n GEO:12.9431582;77.5964488824009 LAST-MODIFIED:20230810T072606Z LOCATION:Audi 3 - Nimhans Convention Centre\nBangalore\nIN ORGANIZER;CN="The Fifth Elephant":MAILTO:no-reply@hasgeek.com URL:https://hasgeek.com/fifthelephant/2012/schedule/financial-market-and-e conomic-data-5atkqcYKvYBG457xSqb3Vp BEGIN:VALARM ACTION:display DESCRIPTION:Financial Market and Economic Data in Audi 3 in 5 minutes TRIGGER:-PT5M END:VALARM END:VEVENT END:VCALENDAR